Ai CSAT-Customer Support-Satisfaction Survey-Ai CSAT is a customer satisfaction detection tool based on deep learning technology, which automatically evaluates customer satisfaction by analyzing phone records.

Ai CSAT
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Ai CSAT
Ai CSAT is a customer satisfaction detection tool based on deep learning technology, which automatically evaluates customer satisfaction by analyzing phone records.
Applicable People: Customer service personnel,Music industry professionals,Music enthusiasts,Others
Customer service personnel
Music industry professionals
Music enthusiasts
Others
Customer Support
Satisfaction Survey
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Product Details
5000+ Artificial Intelligence Tools for YouDiscover AI, Unleash Your PotentialProduct Introduction
Ai CSAT utilizes state-of-the-art deep learning techniques to detect customer satisfaction from Dialpad call records between customer service representatives and customers. Firstly, the audio from the calls is transcribed into words using our proprietary speech recognition technology, maximizing accuracy even in noisy environments. The resulting transcript is then fed into a deep neural network, which updates approximately 100 million parameters based on 1.3 million anonymized calls used for training, enabling accurate predictions.
5000+ Artificial Intelligence Tools for YouDiscover AI, Unleash Your PotentialMain Function
Advanced Speech Recognition: Transcribes phone call audio into text with high accuracy, even in noisy environments. Powerful deep neural network: Relies on trained 1.3 million phone call records and 100 million parameters to accurately predict customer satisfaction. Customer satisfaction analysis: Real-time analysis of conversations between customers and customer service, providing in-depth insights on service quality. Automated feedback: Identifies issues promptly and improves services to enhance customer satisfaction.
How to Use
Easily assess customer satisfaction with Ai CSAT. Simply upload your call records to the system, and it will automatically perform the following steps: transcription of calls, converting audio into text to minimize errors; analysis of customer satisfaction, evaluating customer sentiment and satisfaction using deep learning networks; real-time feedback, providing timely feedback to improve customer service. This simple process can help enhance customer satisfaction and optimize the customer support experience.
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